Power Quality Optimization Case Study

How a Ludhiana Tools Manufacturer Discovered 60% Hidden Energy Waste
Through Power Factor Analysis

A forging hammer's abnormal readings revealed critical power quality issues costing thousands monthly in excess kVAh charges and accelerating equipment degradation

0.2
Initial Power Factor
250%
Excess kVAh Consumption
₹45K+
Monthly Waste Identified
3.5x
Equipment Stress Reduction
Client: Leading Tools Manufacturer
Location: Ludhiana, Punjab
Industry: Forging & Metal Tools
Focus: Forging Hammers (1T - 1.25T)

The Hidden Cost of Poor Power Factor in Forging Operations

How inductive loads silently drain profits through kVAh billing

20-40%
Higher Bills Due to Poor Power Factor

Manufacturing facilities with heavy inductive loads can see electricity bills increase significantly under kVAh billing systems

0.8 PF
Minimum for Penalty Avoidance

Indian utilities typically penalize facilities with power factor below 0.8, with increasing charges as it drops further

kVAh
Billing Standard for HT/LT >20kW

Since April 2020, most states charge based on apparent power (kVAh), not just real power (kWh), making power factor critical

Understanding kWh vs kVAh Billing

kWh (kilowatt-hour) measures the actual useful energy consumed—the power that does real work like running motors and producing heat. kVAh (kilovolt-ampere-hour), however, measures apparent power, which includes both useful energy and reactive power wasted by inductive equipment like motors, transformers, and forging hammers.

Power Factor = kWh / kVAh. A power factor of 0.2 means only 20% of the total power drawn is doing useful work—the remaining 80% is wasted reactive power that still costs money under kVAh billing.

Most Indian states now bill HT and LT industrial consumers (load >20kW) based on kVAh consumption. Poor power factor directly increases your billed units, even if actual work output remains unchanged.

The Challenge: Energy Guzzlers with Mysteries

This Ludhiana-based manufacturer specializes in producing hand tools—spanners, wrenches, and precision implements used across industries. Their production relies heavily on forging hammers, powerful machines that shape heated metal through repeated high-force impacts.

The facility operated multiple forging hammers of different capacities, and energy monitoring was paramount—these machines are notorious energy guzzlers. After installing Uptime Linked's real-time monitoring system, management began scrutinizing each machine's performance to optimize costs.

The Anomaly That Started Everything

One machine's readings didn't add up:

Hammer 1T (1 Ton Capacity)
Avg. Current:~30 Amperes
kWh Consumption:Normal
Power Factor:~0.75
Hammer 1.25T (1.25 Ton) ⚠️
Avg. Current:~32 Amperes
kWh Consumption:Lower (?)
Power Factor:~0.22

The Contradiction

The 1.25T hammer—a larger, higher-capacity machine—was drawing more current but showing lower kWh consumption than the smaller 1T hammer. This defied logic. A bigger machine doing similar work should consume similar or more energy, not less.

The Investigation: Data-Driven Detective Work

The engineering team pulled comprehensive reports from the Uptime Linked dashboard, examining not just kWh but also kVAh consumption and power factor trends across all machines. The analysis revealed a critical insight:

The Root Cause: Catastrophic Power Factor

Hammer 1T Power Factor
0.70 - 0.80
Healthy range for inductive equipment
Hammer 1.25T Power Factor
0.20 - 0.25
Critical - equipment malfunction territory

What This Meant:

  • Lower kWh but higher current: The 1.25T hammer was consuming massive reactive power (kVAr), which doesn't show up in kWh but requires high current flow
  • kVAh billing impact: Under kVAh billing, this machine was being charged for 4-5x the useful work it was actually performing
  • Equipment stress: The excess current was heating cables, stressing transformers, and accelerating wear on electrical components

Technical Deep Dive: The Math Behind the Waste

Example Calculation (Simplified)
If actual useful work (kW) = 100 kW:
At PF = 0.75 (Normal)
kVA = 100 / 0.75 = 133 kVA
33% overhead
At PF = 0.2 (Faulty)
kVA = 100 / 0.2 = 500 kVA
400% overhead!

Translation: The faulty hammer was drawing 3.75x more apparent power than the healthy one for the same useful work, resulting in proportionally higher kVAh billing, cable heating, and transformer loading.

The Solution: Equipment Diagnosis & Correction

Armed with irrefutable data, the maintenance team investigated the 1.25T hammer. The diagnosis revealed:

Issues Found

  • Worn motor bearings causing magnetic imbalance
  • Degraded motor windings reducing efficiency
  • Incorrect capacitor sizing for power factor correction
  • Loose electrical connections increasing impedance

Actions Taken

  • Replaced worn motor bearings and lubrication
  • Rewound motor with proper insulation
  • Installed correctly-sized capacitor bank for PFC
  • Tightened and cleaned all electrical connections

Post-Correction Results

After implementing repairs and installing power factor correction capacitors, the 1.25T hammer's power factor improved from 0.2-0.25 to 0.85-0.92—bringing it in line with industry standards and eliminating the massive reactive power waste.

4.25x
PF Improvement
-60%
kVAh Reduction
-35%
Current Draw

The Impact: Quantified Savings & Benefits

Financial Impact Breakdown

Monthly kVAh Savings (Single Machine)
~15,000 kVAh
60% reduction in apparent power consumption
Estimated Monthly Cost Savings
₹45,000+
At ₹3/kVAh average industrial tariff
Annual Savings (Projected)
₹5.4L+
From single machine optimization alone

Equipment Longevity Benefits

  • Reduced cable heating extends insulation life by 3-5 years
  • Lower current draw reduces transformer stress and losses
  • Improved voltage stability enhances motor performance
  • Eliminated overheating prevents premature equipment failure

Beyond Direct Savings

  • Avoided utility penalties for low power factor (<0.8)
  • Prevented potential transformer upgrades (₹2-3L savings)
  • Reduced downtime from electrical failures
  • Data-driven maintenance scheduling across all equipment
₹5.4 Lakhs+
Annual Savings from Power Quality Optimization

This represents savings from a single machine. Applying similar monitoring and optimization across the entire facility revealed additional inefficiencies, multiplying the impact. The monitoring system paid for itself within 6-8 weeks.

We knew our forging hammers were heavy energy consumers, but we had no idea one machine was literally wasting 60% of its power draw on reactive power. The Uptime Linked system didn't just show us the numbers—it helped us understand what they meant. The comparison between our 1T and 1.25T hammers revealed a power factor disaster we would have never caught otherwise. The ₹45,000+ monthly savings from fixing just one machine is remarkable, but the real value is knowing our entire electrical system is now optimized and protected.

P
Plant Manager
Leading Tools Manufacturer, Ludhiana

Key Takeaways for Heavy Industry Facilities

Power Factor is Profit Factor

Poor power factor can increase your electricity bill by 20-60% under kVAh billing without changing your actual production output.

kVAh Billing Changes Everything

Since 2020, most Indian states bill based on apparent power (kVAh). Reactive power waste now directly impacts your bottom line.

Comparative Analytics Reveal Issues

Comparing similar equipment side-by-side exposes anomalies that would be invisible when looking at machines in isolation.

Prevention Saves Equipment & Money

Low power factor doesn't just increase bills—it accelerates equipment degradation through excess current, heat, and electrical stress.

Is Poor Power Factor Draining Your Profits?

Discover hidden energy waste with comprehensive power quality monitoring and machine-level analytics

Free power quality assessment • kVAh billing analysis • Custom solutions

Uptime Linked Logo

New Delhi

201/23, Gaurav Tower,
PVR Complex, Vikaspuri,
New Delhi - 110018
+919717278932


Copyright © 2026, Hungrybulb Technologies Pvt Ltd. All Rights Reserved.